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Exploring and Validating Pathways for AI-Empowered Business Education Reform

Ting Chen, Yi Sun*

Abstract


Against the backdrop of digital transformation, artificial intelligence (AI) technology is profoundly impacting industries across the
board, and business education is no exception. This paper conducts in-depth research into the core pathways, safeguarding mechanisms, and
policy recommendations for AI-enabled reforms in business education through theoretical construction and practical exploration. The study
demonstrates that the integration of AI and business education is inherently inevitable and can effectively enhance the adaptability and effectiveness of business education. A robust support mechanism is crucial for the successful implementation of reforms. To address issues such as
technology, teacher capabilities, and institutional frameworks that arise during the reform process, corresponding strategies must be adopted.
This study provides theoretical references and practical guidance for business schools seeking to advance the application of AI in teaching,
holding significant theoretical value and practical significance.

Keywords


Artificial intelligence; Business education; Teaching reform; Intelligent assessment

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References


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DOI: http://dx.doi.org/10.70711/neet.v3i8.7544

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